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strings – Trying to make this VBA code run faster / possibly make it easier to read and update?

Apologies for the long code below in advance. The code simply looks at 1 cell in sheet 2 that is a date to determine what to do with the cells in sheet 1. The code that I have below works, but it takes about 20 seconds to run it which seems like more than it should, and I feel like the code could be a lot shorter (if only I was better with coding frowns ) I had to find a similar code online that would work, I figure it’s not the best one to use in this situation.

End goal here is to take cell C:24 from sheet2 and find this date in Row 4 of sheet1. Then in sheet 1 I am just copying and pasting cells as values in their specific rows in that same column. The rows are listed below (I only need the cells in those rows for the specific column pasted as a value)

Example: Sheet2 cell C:24 = 9/2/2021 In sheet1 “9/2/2021” is in column ABC:4 According to the code below I would want ABC:18 , ABC:19 (and so on) copied and pasted as a value in the same cell that they are currently in (they are currently formulas in their respective cells)

Public Sub Paste_Amounts_As_Values()
Dim todayDate, tomorrowDate As Date
Dim sourceID, targetID As Integer
Dim countdate As Range
Dim wS As Worksheet
Dim aRowVal, bRowVal, cRowVal, dRowVal, eRowVal, fRowVal, gRowVal, hRowVal, jRowVal, kRowVal, 
lRowVal, mRowVal, nRowVal, oRowVal, pRowVal, qRowVal, rRowVal, sRowVal As String

Worksheets("Sheet2").Activate

todayDate = Sheets("Sheet2").Range("C24").Value

Worksheets("Sheet1").Activate

Set wS = ThisWorkbook.Worksheets("Sheet1")
lastcol = wS.Cells(4, 4).End(xlToRight).Column
'dateRow = wS.Range("C24").Cells(4, lastcol).Value

ReDim selectData(1 To lastcol) As Variant

For i = 1 To lastcol - 1
selectData(i) = wS.Cells(4, i + 1)
Next i

For i = 1 To lastcol - 1
If selectData(i) = todayDate Then  'Cells to Copy

aRowVal = ActiveSheet.Cells(18).Formula
bRowVal = ActiveSheet.Cells(19).Formula

cRowVal = ActiveSheet.Cells(29).Formula
dRowVal = ActiveSheet.Cells(30).Formula

eRowVal = ActiveSheet.Cells(40).Formula
fRowVal = ActiveSheet.Cells(41).Formula

gRowVal = ActiveSheet.Cells(51).Formula
hRowVal = ActiveSheet.Cells(52).Formula

jRowVal = ActiveSheet.Cells(62).Formula
kRowVal = ActiveSheet.Cells(63).Formula

lRowVal = ActiveSheet.Cells(73).Formula

mRowVal = ActiveSheet.Cells(84).Formula

nRowVal = ActiveSheet.Cells(94).Formula

oRowVal = ActiveSheet.Cells(105).Formula

pRowVal = ActiveSheet.Cells(115).Formula
qRowVal = ActiveSheet.Cells(116).Formula

rRowVal = ActiveSheet.Cells(126).Formula

sRowVal = ActiveSheet.Cells(179).Formula

sourceID = i + 1
'Debug.Print aRowVal
'Debug.Print bRowVal

  End If
  Next i


If sourceID = 0 Then
MsgBox ("There is no match date with Today")
Else
For i = 1 To lastcol - 1
If selectData(i) = todayDate Then  'Pasting as Value
     
     ActiveSheet.Cells(18) = aRowVal
     ActiveSheet.Cells(18, sourceID) = ActiveSheet.Cells(18, sourceID)
     ActiveSheet.Cells(19) = bRowVal
     ActiveSheet.Cells(19, sourceID) = ActiveSheet.Cells(19, sourceID)
     
     ActiveSheet.Cells(29) = cRowVal
     ActiveSheet.Cells(29, sourceID) = ActiveSheet.Cells(29, sourceID)
     ActiveSheet.Cells(30) = dRowVal
     ActiveSheet.Cells(30, sourceID) = ActiveSheet.Cells(30, sourceID)
     
     ActiveSheet.Cells(40) = eRowVal
     ActiveSheet.Cells(40, sourceID) = ActiveSheet.Cells(40, sourceID)
     ActiveSheet.Cells(41) = fRowVal
     ActiveSheet.Cells(41, sourceID) = ActiveSheet.Cells(41, sourceID)
     
     ActiveSheet.Cells(51) = gRowVal
     ActiveSheet.Cells(51, sourceID) = ActiveSheet.Cells(51, sourceID)
     ActiveSheet.Cells(52) = hRowVal
     ActiveSheet.Cells(52, sourceID) = ActiveSheet.Cells(52, sourceID)
     
     ActiveSheet.Cells(62) = jRowVal
     ActiveSheet.Cells(62, sourceID) = ActiveSheet.Cells(62, sourceID)
     ActiveSheet.Cells(63) = kRowVal
     ActiveSheet.Cells(63, sourceID) = ActiveSheet.Cells(63, sourceID)
     
     ActiveSheet.Cells(73) = lRowVal
     ActiveSheet.Cells(73, sourceID) = ActiveSheet.Cells(73, sourceID)
     
     ActiveSheet.Cells(84) = mRowVal
     ActiveSheet.Cells(84, sourceID) = ActiveSheet.Cells(84, sourceID)
     
     ActiveSheet.Cells(94) = nRowVal
     ActiveSheet.Cells(94, sourceID) = ActiveSheet.Cells(94, sourceID)
     
     ActiveSheet.Cells(105) = oRowVal
     ActiveSheet.Cells(105, sourceID) = ActiveSheet.Cells(105, sourceID)
     
     ActiveSheet.Cells(115) = pRowVal
     ActiveSheet.Cells(115, sourceID) = ActiveSheet.Cells(115, sourceID)
     ActiveSheet.Cells(116) = qRowVal
     ActiveSheet.Cells(116, sourceID) = ActiveSheet.Cells(116, sourceID)
     
     ActiveSheet.Cells(126) = rRowVal
     ActiveSheet.Cells(126, sourceID) = ActiveSheet.Cells(126, sourceID)
     
     ActiveSheet.Cells(179) = sRowVal
     ActiveSheet.Cells(179, sourceID) = ActiveSheet.Cells(179, sourceID)
     
     
     
     targetID = i + 1
    'Debug.Print ActiveSheet.Cells(9, i + 1)
    'Debug.Print ActiveSheet.Cells(11, i)
End If
Next i
If targetID = 0 Then
MsgBox ("There is no match date with Tomorrow")
End If
End If
End Sub

shaders – Faster Alternatives to Jacobi Pressure Solving in Navier Stokes Simulation

While Jacobi itself is quite simple it needs at least 10 iterations to produce acceptable results. However that results in a higher total time cost than the rest of the Navier Stokes Simulation together.

Are there any other ways to compute pressure with less steps? Since in my case it is purely visual I prefer performance over accuracy (as long as it looks acceptable)

example Jacobi Solver I am using:

float pN = tex2D(_Pressure, IN.uv + float2(0, _InverseSize.y)).x;
float pS = tex2D(_Pressure, IN.uv + float2(0, -_InverseSize.y)).x;
float pE = tex2D(_Pressure, IN.uv + float2(_InverseSize.x, 0)).x;
float pW = tex2D(_Pressure, IN.uv + float2(-_InverseSize.x, 0)).x;
float pC = tex2D(_Pressure, IN.uv).x;

float bN = tex2D(_Obstacles, IN.uv + float2(0, _InverseSize.y)).a;
float bS = tex2D(_Obstacles, IN.uv + float2(0, -_InverseSize.y)).a;
float bE = tex2D(_Obstacles, IN.uv + float2(_InverseSize.x, 0)).a;
float bW = tex2D(_Obstacles, IN.uv + float2(-_InverseSize.x, 0)).a;

if(bN > 0.5) pN = pC;
if(bS > 0.5) pS = pC;
if(bE > 0.5) pE = pC;
if(bW > 0.5) pW = pC;

float bC = tex2D(_Divergence, IN.uv).x;

float p = (pW + pE + pS + pN + _Alpha * bC) * _InverseBeta;

float2 uvmasks = min(IN.uv, 1.0 - IN.uv);
p = any(uvmasks <= _Border) ? 0.0 : p;

return p;

csv – way to make my python code faster

All. I have three array lets say arrayA, arrayB and arrayC. i am comparing the elements of arrayA and arrayC and whenever the arrayA(i) is equal to arrayC(j), i am printing out the rspective element of arrayB as arrayB(i).
By, follwing this loop method i am getting the right answer but the time consumption is huge as my datasize is huge.
So, i was hoping if anyone can help me out to minimize the time.

arrayA = (.....)
arrayB = (.....)
arrayC = (......)

for i in range(len(arrayA)):
    for j in range(len(arrayC)):
        if arrayC(j) == arrayA(i):
            print(arrayB(i))

Copy data from full node to a new pruned node to sync faster

I already have a full node synced with blocks and chainstate folder, however i wanted to run a pruned node, is there a way to copy the blocks or chainstate folder to make the initial sync of the pruned node faster?

java – Leetcode 1584. How to make my Kruskal&Union Find algorithm faster?

Your solution already seems to be implemented (rather) efficiently. My only advice is to rename Find and Union to find and union, respectively (Java style prefers lowercase chars at the first verb of a method name).

In UnionFindSet, you have

public final int() parents;

I suggest you hide it by the private keyword instead of public.

In case you, in fact, seek for greater efficiency, take a look a this Wikipedia article. Perhaps it makes sense to implement all the discussed implementations of the disjoint set data structure and benchmark them all in order to find the fastest version.

usa – Why does Google Maps say that driving from San Francisco to Seattle via Portland is 30 minutes faster than driving from San Francisco to Seattle?

The primary difference is traffic.

When you ask for the route from San Jose to Seattle, the website displays the “Leave now” option and calculates a real-time prediction based on current traffic (in this case, “the usual traffic” meaning that traffic is roughly around normal levels). You can see this because the numbers are in green; they’d turn orange or red if there was a major delay due to traffic. For such a long drive, this is only so meaningful, as traffic conditions will inevitably change and you’ll surely make some stops along the way, but you can adjust the setting and it will display different time estimates (albeit within large ranges like “typically 12 hr – 15 hr 10 min”).

But when you ask for directions for a multi-stop trip, it doesn’t use real-time traffic information and is displaying the time “without traffic.” Note that the numbers are in white (or black using light mode theming) instead of colored. Presumably, it’s doing this because it has no idea how long you might stay in Portland and so has no idea even what traffic to estimate for the Portland—Seattle segment (you may be doing it at rush hour or in the middle of the night).

Furthermore, you’ve asked for directions to “Portland,” which Google Maps has decided is a particular point around the I-5/I-405 interchange. As such, it’s routed you through the city. If ask for directions to Seattle, you’ll pass through Portland, but will stay on I-5, a shorter route that avoids some of the city traffic.

sql server – Do fragmented database cause transaction logs to grow faster?

Hoping to get some clarity here as I’ve reached the limits of my SQL knowledge. The company I work for sell products storing data into MSSQL databases but our focus isn’t really on the storage and management of this data as we normally leave that for onsite IT to manage. In this case though the IT don’t really do anything and now I have to look at it when I’m more of an application specialist.

In this case our customer ran out of disk space on the disk they use to store their transaction log – this was resolved by giving more disk space to the drive however they’re convinced that “the log used to be way smaller and now it’s growing much faster than it used to”.

I understand that the speed by which the transaction log grows is determined the by number of transactions carried out, if any index rebuilds/reorganisations happen etc but as I mentioned, this customer does nothing to manage their database so I would expect this speed to just reflect how much data they insert but not much else.
enter image description here
To get to the point, after checking the indexes, I noticed that nearly all of them are over 90% fragmented….I was wondering if this smack to performance could create more logging than usual or would it just affect the speed by which any queries/transactions execute?

I tried viewing the SQL Server Logs but I just run out of memory each time become of the insane amount of errors reading:

The transaction log for database "Name of Database" is full due to "LOG_BACKUP"

This stops me from seeing the transaction leading up to this error.

Note

  • I can only shrink the database by 9MB (database is around 580GB)
  • Recovery Model = Full


From my own research I think what I’m seeing is quite normal and the DB just needs better maintenance in general however in my industry(industrial manufacturing) databases are seen as mystical entity no one wants to touch so I’m trying to find an explanation what they believe (if any).


Thanks all for any help/guidance and please excuse any inconsistent jargon/noobish points (still self-learning)

statistics – Creating bins from 3D points (large dataset) with python for faster processing

I am trying to make a 3D plot of a galaxy catalog and have a large amount of x,y,z coordinates and data value (w4) stored in seperate hdf5 files, all of a total size of 5.5 GB (500 MB x 11 files).

I am running the code with python2 using cluster on a university server.

Since the data content is huge, I have tried statistical binning them to 3D bins to make smaller data sets for faster processing.

The code is as:

gaspos = np.array(gas('Coordinates'))*ckpc/h  ##coordinates
x = gaspos(:,0)
y = gaspos(:,1)
z = gaspos(:,2)

w4 = gas('MagneticField')*(h/a**2)*np.sqrt(1e10*Msun/kpc)*1e5/kpc
w4 *= w4/(8*np.pi)
w4 = (np.dot(w4,np.ones((3,1))).T)(0)  ## 1 dimension data

hist, binedges = np.histogramdd(gaspos, normed=False)
hist, binedges = np.histogramdd(w4, normed=False)

fig = plt.figure(figsize = (16, 9))
ax1 = plt.axes(projection ="3d")

ax1.scatter3D(x,y,z,c = w4)
plt.show()

The output is however taking forever to load and I have tried various techniques to bin the data (binned_statistics_dd, histogramdd etc) but nothing has worked.

I want an output similiar to the one below:

enter image description here

Please help out if there is any way create more efficient 3D bins or a way to speed up the processing.

Any help will be appreciated since I have been trying this for weeks now.

synchronization – Is there a faster way to download IBD for bitcoin core?

If you could download an already synchronized state, you shouldn’t do that. The purpose of synchronization is to produce a valid database containing the state of the network, downloading somebody else’s can have false entries and your node would not know that it is invalid. Increasing the dbcache can improve performance but you don’t have much additional memory to give Bitcoin Core to use.